Stability of leukocyte research parameters over time on the Sysmex <scp>XN</scp>: How to quantify the changes in cell morphology

Pérez, I.; Redín, Maria Elena

doi:10.1111/ijlh.12866

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Along the lack of harmonization among different instruments and clinical laboratories, another disadvantage of these CPD parameters is less analytical quality specification. Metrological issues, such as stability, quality control targets and harmonization of CPD, are now under intense evaluation (43,44).…”

Section: Cpd: Opportunity and Weaknessmentioning

confidence: 99%

Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis

Urrechaga¹

2020

Ann Transl Med

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Sepsis is a medical emergency that describes the body's systemic immune response to an infection and can lead to end-stage organic dysfunction and death. Despite the advances in understanding the pathophysiology of this syndrome and therapies, sepsis remains one of the leading causes of morbidity and mortality in critically ill patients. Early diagnosis and rapid intervention are essential to improve outcomes, which inspired the concept "golden hour," during which the correction of shock and organic dysfunction can improve the patients' outcomes. But the initial presentation of sepsis is often nonspecific and its severity is difficult to assess. Anomalies in temperature, heart and respiratory rates and leukocyte counts are manifestations of systemic inflammatory response syndrome (SIRS). Diagnosis, management and followup of patients with sepsis remains a challenge, and diverse biomarkers have been proposed for the timely diagnosis and prognosis of septic patients: lactic acid, procalcitonin (PCT), C-reactive protein, immature granulocytes. The host's initial response to infection is a humoral, cellular and neuroendocrine reaction to infection, and leukocytes interact with endothelial cells. The new generation of hematological analyzers incorporates technological innovations allowing to expand the information derived from the complete blood count: new leukocyte derived parameters are emerging as potentially useful markers in different clinical situations. Additional research parameters cell population data (CPD), characterizing different leukocyte populations have become available, and preliminary observations suggest their utility in the diagnosis of sepsis. This review emphasizes the value of CPD, reported by modern cellular counters for early recognition of sepsis, and therefore the potential improvement in patient outcomes.

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Section: Cpd: Opportunity and Weaknessmentioning

confidence: 99%

Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis

Urrechaga¹

2020

Ann Transl Med

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Assessment of time‐dependent white blood cells degeneration induced by blood storage on automated parameters and morphology examination

Naoum¹,

Martin²,

Valejo³

et al. 2020

Int J Lab Hematology

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Construction of the prediction model for multiple myeloma based on machine learning

Cai,

Liu,

Wang

et al. 2024

Int J Lab Hematology

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IntroductionThe global burden of multiple myeloma (MM) is increasing every year. Here, we have developed machine learning models to provide a reference for the early detection of MM.MethodsA total of 465 patients and 150 healthy controls were enrolled in this retrospective study. Based on the variable screening strategy of least absolute shrinkage and selection operator (LASSO), three prediction models, logistic regression (LR), support vector machine (SVM), and random forest (RF), were established combining complete blood count (CBC) and cell population data (CPD) parameters in the training set (210 cases), and were verified in the validation set (90 cases) and test set (165 cases). The performance of each model was analyzed using receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis (DCA). Accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the ROC curve (AUC) were applied to evaluate the models. Delong test was used to compare the AUC of the models.ResultsSix parameters including RBC (1012/L), RDW‐CV (%), IG (%), NE‐WZ, LY‐WX, and LY‐WZ were screened out by LASSO to construct the model. Among the three models, the AUC of RF model in the training set, validation set, and test set were 0.956, 0.892, and 0.875, which were higher than those of LR model (0.901, 0.849, and 0.858) and SVM model (0.929, 0.868, and 0.846). Delong test showed that there were significant differences among the models in the training set, no significant differences in the validation set, and significant differences only between SVM and RF models in the test set. The calibration curve and DCA showed that the three models had good validity and feasibility, and the RF model performed best.ConclusionThe proposed RF model may be a useful auxiliary tool for rapid screening of MM patients.

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Stability of leukocyte research parameters over time on the Sysmex XN: How to quantify the changes in cell morphology

Abstract: Morphological variations of neutrophils and lymphocytes can be quantified. This data can be used to correct the deviation in samples that cannot be analyzed before 4 hours.

Cited by 3 publications

References 17 publications

Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis

Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis

Assessment of time‐dependent white blood cells degeneration induced by blood storage on automated parameters and morphology examination

Construction of the prediction model for multiple myeloma based on machine learning

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